What is Codatta (XNY)?

By CMC AI
08 May 2026 07:27AM (UTC+0)
TLDR

Codatta (XNY) is a decentralized, multi-chain protocol designed to transform individual knowledge into verifiable digital assets, creating a marketplace where data contributors earn perpetual royalties from AI and decentralized science (DeSci) projects that use their datasets.

  1. Core Purpose – It addresses the AI industry's need for high-quality, trustworthy training data by building a permissionless data marketplace.

  2. Key Technology – The protocol operates across multiple blockchains (like Solana and BNB Chain) and uses a hybrid model for transparent verification and private data storage.

  3. Token Utility – The native XNY token facilitates payments, incentivizes quality contributions, and enables governance within the ecosystem.

Deep Dive

1. Purpose & Value Proposition

Codatta aims to solve critical data challenges in AI and Web3: lack of provenance, unfair monetization for creators, and insufficient quality assurance (CoinMarketCap). It positions itself as a "Knowledge Layer," creating a system where data contributors have "skin in the game"—they mint ownership of their datasets and are rewarded based on the accuracy and usage of their contributions, not just activity. This model seeks to produce better, more reliable data for AI model training.

2. Technology & Architecture

The protocol is multi-chain, deploying on networks including Solana, BNB Chain, and Ethereum for broad accessibility (Phemex). It employs a hybrid storage architecture: on-chain proofs (like hashes) ensure data integrity and transparent lineage, while the actual dataset content is stored encrypted off-chain to balance transparency with privacy and scalability. This infrastructure is designed to automate processes from data screening and matching to metering access and distributing royalties.

3. Tokenomics & Governance

The XNY token has a fixed maximum supply of 10 billion. Its core utilities are transactional (paying for data access), incentive-based (rewarding contributors and stakers), and governance-oriented (voting on protocol upgrades) (Phemex). This design aligns all participants—data creators, validators, and consumers—around the common goal of cultivating and utilizing high-value data assets.

Conclusion

Fundamentally, Codatta is building a decentralized economic system for knowledge, where data becomes a collectively owned asset that generates ongoing value for its creators. Can its hybrid human-AI network consistently deliver the expert-level data that next-generation AI models require?

CMC AI can make mistakes. Not financial advice.